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#

obstacle-avoidance

Here are 410 public repositories matching this topic...

DRL-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

  • UpdatedDec 13, 2025
  • Python

Trajectory Planner in Multi-Agent and Dynamic Environments

  • UpdatedDec 7, 2022
  • C++

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

  • UpdatedApr 25, 2022
  • Python

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

  • UpdatedSep 4, 2023
  • C++

Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance

  • UpdatedOct 20, 2021
  • Python

Open-source Autonomy Software in Rust-lang using gRPC for the Roomba series robot vacuum cleaners. Under development.

  • UpdatedNov 19, 2025
  • Rust
nullspace_mpcDRL-robot-navigation-IR-SIM

Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

  • UpdatedDec 14, 2025
  • Python

A* Search Algorithm with an Additional Time Dimension to Deal with Dynamic Obstacles

  • UpdatedJun 14, 2021
  • Python
mppi_swerve_drive_ros

A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments

  • UpdatedFeb 5, 2022
  • Python

Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

  • UpdatedNov 26, 2023
  • Python

Safety-critical controllers for single/multi robotic navigation: CBF-QP, MPC-CBF, and etc.

  • UpdatedDec 17, 2025
  • Python

Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

  • UpdatedJan 30, 2025
  • Python

ORCA(Optimal Reciprocal Collision Avoidance) in Unity.

  • UpdatedNov 23, 2024
  • C#

Several controllers to move Ridgeback mobile-robot and UR5 robotic-arm.

  • UpdatedMay 29, 2020
  • C++

Multi-agent motion planning packages (HDSM method)

  • UpdatedMay 26, 2025
  • C++

ROS workspace that creates a trajectory for a UAV to follow passing through a set of given waypoints and avoiding a set of given cylindrical obstacles.

  • UpdatedJan 11, 2023
  • Makefile

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